Business Analytics Curriculum

Business

A structured, level-by-level path through Business Analytics. Start with Foundations of Framing the business question and Core methods in Data models for BI at the Intermediate level, then build toward advanced practice and expert-level mastery — with hands-on projects and quizzes at every stage.

3 levels 9 modules 27 topics 6 weeks · about 24 hours · 8 weeks · about 32 hours · 10 weeks · about 40 hours
Intermediate

Intermediate Business Analytics

6 weeks · about 24 hours

3 modules

Advanced

Advanced Business Analytics

8 weeks · about 32 hours

3 modules

Expert

Expert Business Analytics

10 weeks · about 40 hours

3 modules

Business Analytics Course Curriculum

9 modules across 3 levels.

Intermediate

Intermediate Business Analytics

Start with Framing the business question, Data models for BI and Warehouse queries. Each module explains the idea, shows a worked example and ends with a short project, so Business Analytics becomes something you can do rather than something you have only read about.

6 weeks · about 24 hours 3 modules

Topics

Project

Write a one-page explanation of Framing the business question in your own words, with an example you chose yourself, and test it against the module checklist.

Learning Path

1

Foundations of Framing the business question

Work through the three topics in this module, complete the project, then answer the self-check questions before moving on.

2

Core methods in Data models for BI

Work through the three topics in this module, complete the project, then answer the self-check questions before moving on.

Prerequisites: Foundations of Framing the business question

3

Applying Warehouse queries

Work through the three topics in this module, complete the project, then answer the self-check questions before moving on.

Prerequisites: Core methods in Data models for BI

Practice Problems

EasyExplain Framing the business question to someone who has never studied the subject, using one worked example.
Solution: A strong answer defines framing the business question precisely, gives one concrete example, and names the limitation it runs into.
MediumExplain Data models for BI to someone who has never studied the subject, using one worked example.
Solution: A strong answer defines data models for bi precisely, gives one concrete example, and names the limitation it runs into.
HardExplain Warehouse queries to someone who has never studied the subject, using one worked example.
Solution: A strong answer defines warehouse queries precisely, gives one concrete example, and names the limitation it runs into.

Glossary

Framing the business question

A central idea in the intermediate Business Analytics path, covered in the module of the same name.

Example: apply Framing the business question to a small, familiar case step by step, then check your reasoning against the walkthrough.

Data models for BI

A central idea in the intermediate Business Analytics path, covered in the module of the same name.

Example: apply Data models for BI to a small, familiar case step by step, then check your reasoning against the walkthrough.

Warehouse queries

A central idea in the intermediate Business Analytics path, covered in the module of the same name.

Example: apply Warehouse queries to a small, familiar case step by step, then check your reasoning against the walkthrough.

About the Business Analytics curriculum

The Business Analytics curriculum is a complete, self-paced course in business, organised into 3 progressive levels and 9 modules. It opens with Foundations of Framing the business question and Core methods in Data models for BI, moves through Applying Warehouse queries and finishes with expert-level work on Leading practice in Experiment analysis and Mastering Decision memos.

Across the whole path you work through 27 individual topics — from Framing the business question and Hands-on: framing the business question at the start to Hands-on: decision memos and Checking your understanding of decision memos by the end. The levels are estimated at 6 weeks · about 24 hours, 8 weeks · about 32 hours and 10 weeks · about 40 hours. Each level assumes the one before it, so you can work straight through from Intermediate to Expert, or start at the level that matches what you already know.

It is aimed at founders, managers and professionals who need working judgement rather than theory for its own sake. Cases and decision frameworks carry the weight here: you apply each concept to a realistic scenario, weigh the trade-offs and produce a recommendation you can defend.

Every module pairs a written summary with a worked example, a short quiz to check the idea landed, and a project brief drawn from real practice. You are never asked to take a concept on trust: the reasoning, the common mistakes and the situations where the approach stops working are all laid out, so you finish a module able to explain the idea rather than only recognise it.

What you’ll be able to do

By the end of the Business Analytics path you should be able to work confidently with:

Framing the business question

Hands-on: framing the business question

Checking your understanding of framing the business question

Data models for BI

Putting data models for bi to work

Checking your understanding of data models for bi

Warehouse queries

Hands-on: warehouse queries

How the Business Analytics curriculum is structured

Intermediate 6 weeks · about 24 hours 3 modules 9 topics

Intermediate Business Analytics

Start with Framing the business question, Data models for BI and Warehouse queries. Each module explains the idea, shows a worked example and ends with a short project, so Business Analytics becomes something you can do rather than something you have only read about.

Modules: Foundations of Framing the business question · Core methods in Data models for BI · Applying Warehouse queries

  • Framing the business question: Framing the business question is where many Business Analytics learners first get stuck, so the module slows down, isolates the difficult step and rebuilds it with you.
  • Hands-on: framing the business question: This module treats Framing the business question as a tool: the question it answers, what it assumes, and what a correct use of it looks like in Business Analytics.
  • Checking your understanding of framing the business question: Framing the business question is where many Business Analytics learners first get stuck, so the module slows down, isolates the difficult step and rebuilds it with you.

Project: Write a one-page explanation of Framing the business question in your own words, with an example you chose yourself, and test it against the module checklist.

Advanced 8 weeks · about 32 hours 3 modules 9 topics

Advanced Business Analytics

Build on the intermediate level through Metric hierarchies, Dashboarding and Demand forecasting. The emphasis shifts from knowing the ideas to choosing between them — trade-offs, failure modes and the reasoning behind each decision.

Modules: In depth Metric hierarchies · Patterns and trade-offs in Dashboarding · Scaling Demand forecasting

  • Metric hierarchies: Metric hierarchies is pushed past the textbook case: competing approaches, their trade-offs and the situations where each one breaks down.
  • Putting metric hierarchies to work: The module examines Metric hierarchies closely, including the assumptions beneath it and what changes when those assumptions stop holding.
  • Common pitfalls in metric hierarchies: Metric hierarchies is pushed past the textbook case: competing approaches, their trade-offs and the situations where each one breaks down.

Project: Produce a short case analysis in which Metric hierarchies drives the recommendation, including the alternatives you rejected and why.

Expert 10 weeks · about 40 hours 3 modules 9 topics

Expert Business Analytics

Work at the edge of Business Analytics through Customer segmentation, Experiment analysis and Decision memos. The modules assume fluency and ask for judgement: designing, critiquing and defending work at a professional standard.

Modules: Frontiers of Customer segmentation · Leading practice in Experiment analysis · Mastering Decision memos

  • Customer segmentation: This module asks you to critique and extend Customer segmentation rather than simply apply it, producing work another expert could review.
  • Hands-on: customer segmentation: At expert level Customer segmentation is treated as a field of judgement: current practice, contested positions and the evidence behind each.
  • Checking your understanding of customer segmentation: This module asks you to critique and extend Customer segmentation rather than simply apply it, producing work another expert could review.

Project: Write a professional-standard brief on Customer segmentation — argument, evidence, limitations — plus a plan for taking the work further.

How to study Business Analytics, phase by phase

  1. 1

    Phase 1 — Intermediate

    Set aside around 6 weeks · about 24 hours. Work through 3 modules, starting with Foundations of Framing the business question and Core methods in Data models for BI. Finish the phase by completing the project brief: Write a one-page explanation of Framing the business question in your own words, with an example you chose yourself, and test it against the module checklist.

  2. 2

    Phase 2 — Advanced

    Set aside around 8 weeks · about 32 hours. Work through 3 modules, starting with In depth Metric hierarchies and Patterns and trade-offs in Dashboarding. Finish the phase by completing the project brief: Produce a short case analysis in which Metric hierarchies drives the recommendation, including the alternatives you rejected and why.

  3. 3

    Phase 3 — Expert

    Set aside around 10 weeks · about 40 hours. Work through 3 modules, starting with Frontiers of Customer segmentation and Leading practice in Experiment analysis. Finish the phase by completing the project brief: Write a professional-standard brief on Customer segmentation — argument, evidence, limitations — plus a plan for taking the work further.

  4. 4

    Phase 4 — Consolidate

    Return to the sections that felt weakest, redo their quizzes from memory, and rebuild the Write a one-page explanation of Framing the business question in your own words, with an example you chose yourself, and test it against the module checklist. without following along. Explaining Business Analytics to someone else in plain language is the clearest signal that the Expert level has landed.

Once you have finished, the Business Analytics path is a reasonable foundation for management, consulting, finance and operations roles. Because the curriculum is generated and kept as a structured outline rather than fixed videos, you can revisit any module, regenerate the outline at a different depth, or save it to your library and work through it over weeks rather than in one sitting.

Business Analytics — Frequently Asked Questions

Common questions about studying Business Analytics on LearnAnyCourse.

What does the Business Analytics curriculum cover?

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The Business Analytics curriculum is organised into 3 levels (Intermediate, Advanced and Expert) and 9 modules, including Foundations of Framing the business question, Core methods in Data models for BI, Applying Warehouse queries, In depth Metric hierarchies, Patterns and trade-offs in Dashboarding and Scaling Demand forecasting.

How long does it take to learn Business Analytics?

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Each level is designed to take about 6 weeks · about 24 hours, 8 weeks · about 32 hours and 10 weeks · about 40 hours. Most learners work through one level at a time at their own pace.

Is the Business Analytics curriculum free?

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Yes. Every Business Analytics curriculum on LearnAnyCourse is free to read and study — create an account only if you want to save curricula to your personal library.

Do I need prior experience to study Business Analytics?

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The curriculum starts at the intermediate level and builds upward, so you can begin with the fundamentals and progress to expert-level Business Analytics topics without jumping ahead.

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